aimclub / aimclub/FEDOT

Refactor exog_ts feature

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time series
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Beschreibung

I propose idea that we can pass exog time series directly in all nodes instead manually creating complicated pipelines with different time-series sources.

Now we need to create input data for all exogenous time series and pass them as independent node. I think it's not user-friendly behaviour.
![image](https://user-images.githubusercontent.com/32017472/226297471-91d2e21c-d893-41a9-932a-bdf28dc12aae.png)

I propose we should create a field in input data named "exog_ts" where we can store exogenous time series. It seems no problem because in time series forecasting problem we use only 2 types of nodes could handle exogenous variables.

* lagged - we can simply convert all ts to tables and concatenate them.
* time series models like ARIMA - we always pass raw (or processed) time series to them and we can pass exog_ts to them too.

Ideally it should look like this
![image](https://user-images.githubusercontent.com/32017472/226297131-6c100023-2c53-4f6d-afba-02f2882b4ac5.png)

Any advises are welcomed.

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